One Model is Not Enough: Ensembles for Isolated Sign Language Recognition

Continuous 3D Multi-Channel Sign Language Production via Progressive Transformers and Mixture Density Networks

(2021) Ben Saunders et al.   INTERNATIONAL JOURNAL OF COMPUTER VISION

Global Negative Correlation Learning: A Unified Framework for Global Optimization of Ensemble Models

(2021) Carlos Perales-Gonzalez et al.   IEEE Transactions on Neural Networks and Learning Systems

Deep High-Resolution Representation Learning for Visual Recognition

(2020) Jingdong Wang et al.   IEEE TRANSACTIONS ON PATTERN ANALYSIS AND MACHINE INTELLIGENCE

Less Is More: A Comprehensive Framework for the Number of Components of Ensemble Classifiers

(2019) Hamed Bonab et al.   IEEE Transactions on Neural Networks and Learning Systems

Weakly Supervised Learning with Multi-Stream CNN-LSTM-HMMs to Discover Sequential Parallelism in Sign Language Videos

(2019) Oscar Koller et al.   IEEE TRANSACTIONS ON PATTERN ANALYSIS AND MACHINE INTELLIGENCE

Deep Sign: Enabling Robust Statistical Continuous Sign Language Recognition via Hybrid CNN-HMMs

(2018) Oscar Koller et al.   INTERNATIONAL JOURNAL OF COMPUTER VISION